4.5 Article

A circular system for end-of-life tires under extended producer responsibility

Journal

MATERIALS AND MANUFACTURING PROCESSES
Volume -, Issue -, Pages -

Publisher

TAYLOR & FRANCIS INC
DOI: 10.1080/10426914.2023.2190384

Keywords

End-of-life; tires; extended; producer; responsibility; industrial; symbiosis; sustainability; circularity; evolutionary; algorithms

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This paper presents a circular recycling system that integrates Individual Producer Responsibility and Industrial Symbiosis to address end-of-life tires under extended producer responsibility. The system aims to achieve sustainability and circularity in the tire industry while avoiding the negative impacts of landfilling. It emphasizes emission-free recyclers for environmental sustainability and uses dynamic pricing to collect end-of-life tires from consumers. By using a multi-period scenario-based nonlinear mixed integer programming model and evolutionary metaheuristic algorithms, the economic sustainability of the proposed system is investigated. The case study shows that the system is economically sustainable and can contribute to the successful implementation of extended producer responsibility in the tire industry.
This paper presents a circular recycling system for end-of-life tires (ELTs) under extended producer responsibility (EPR) by integrating Individual Producer Responsibility (IPR) and Industrial Symbiosis (IS). The system aims for sustainability and circularity in the tire industry, avoiding the detrimental effects of landfilling. It focuses on emission-free recyclers to create IS for ensuring environmental sustainability. Additionally, the system uses a dynamic pricing strategy to take-back ELTs from consumers. This paper also presents a multi-period scenario-based nonlinear mixed integer programming model to investigate the economic sustainability of the proposed system under uncertainty. Three different evolutionary metaheuristic algorithms, genetic algorithm (GA)-based simulated annealing, GA and a new variant of particle swarm optimization are used to obtain the solution of the model. Through a case study, it is found that the proposed system is economically sustainable and has the potential to aid in the successful implementation of EPR in the tire industry.

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